The Utility of 24-h Video-EEG Monitoring in the Diagnosis of Epilepsy in Children
Qingxiang Zhang1, Wenjin Zheng1, Stéphane Jean2
1Department of Neurology, Dehua County Hospital, Quanzhou, China.
Insights
Shortening video-electroencephalogram (video-EEG) monitoring in children can maintain diagnostic yield. A 4-hour duration effectively detects interictal epileptiform discharges, while 1-hour suffices for generalized epilepsy cases.
Area of Science:
- Pediatric Neurology
- Clinical Neurophysiology
- Epileptology
Background:
- 24-hour video-electroencephalogram (video-EEG) monitoring is a standard diagnostic tool in epilepsy monitoring units (EMUs).
- Optimizing monitoring duration is crucial for balancing diagnostic yield and resource utilization in pediatric epilepsy evaluations.
Purpose of the Study:
- To evaluate the diagnostic yield of shorter durations of 24-hour video-EEG monitoring in children.
- To determine the optimal monitoring time for detecting interictal epileptiform discharges (IEDs), epileptic seizures (ES), and psychogenic non-epileptic seizures (PNES) in pediatric patients.
Main Methods:
- Analysis of 232 children undergoing 24-hour video-EEG monitoring.
- Comparison of diagnostic yield at different monitoring intervals (1, 2, 4, 8, 16, and 24 hours).
- Assessment of detection rates for IEDs, ES, and PNES across these intervals.
Main Results:
- No significant difference in initial IED detection between 4-hour and 24-hour monitoring (73.7% vs 81%).
- Clinical event detection rates were similar between 8-hour and 24-hour monitoring (15.5% vs 19.3%).
- 8-hour monitoring was sufficient for focal epilepsy, 1-hour for generalized epilepsy, and 1-hour for self-limited focal epilepsies (SeLFEs).
Conclusions:
- A 4-hour video-EEG monitoring duration offers increased value for IED detection compared to routine EEG.
- Shorter monitoring durations (1-4 hours) may be sufficient for specific pediatric epilepsy types, improving efficiency.
- 24-hour video-EEG monitoring provides adequate yield for IEDs and clinical events in pediatric patients.
Abstract:
Objectives: Evaluate the diagnostic yield of 24-h video-EEG monitoring in a group of children admitted in our epilepsy monitoring unit (EMU). Methods: 232 children who underwent 24-h video-EEG monitoring was analysed. We divided each patient's monitoring duration into the first 1, 2, 4, 8, 16 h, relative to the whole 24 h monitoring period. The detection of the first interictal epileptiform discharges (IEDs), epileptic seizures (ES), and psychogenic non-epileptic seizures (PNES) were analysed relative to the different monitoring time subdivision. Results: Our findings revealed that: (1) there was no significant difference in the prevalence of detecting initial IEDs between the first 4-h and 24-h monitoring periods (73.7% vs 81%); (2) clinical events detection rate was statistically similar between the first 8-h and 24-h monitoring periods (15.5% vs 19.3%); (4) an 8-h monitoring was sufficient to capture IEDs, ES and PNES in focal epilepsy children; (5) a 1-h monitoring was sufficient to capture IEDs, ES and PNES in generalized epilepsy children; and (6) IEDs were detected within the first 1-h of monitoring in 96.7% self-limited focal epilepsies (SeLFEs) patient. Conclusion: Our study suggests that a 4-h monitoring has more value in increasing the detection rate of IEDs compared to the traditional shorter routine EEG. And in the case of SeLFEs, a 1-h of monitoring might be sufficient in detecting IEDs. A 24-h VEEG monitoring can detect clinical events in 19.3% of patients. Overall, the yield of IEDs and clinical events detection is adequate in children in children undergoing 24-h video-EEG monitoring.
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